Beijun Shen

Natural Language Processing · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Beijun Shen trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Karen Spärck Jones
  2. Miltiadis Allamanis

Papers from Beijun Shen's perspective

Ordered by how strongly the researchers Beijun Shen trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Long Short-Term Memory
  2. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  3. Bimodal Modelling of Source Code and Natural Language
  4. PRINCIPLES OF NEURODYNAMICS. PERCEPTRONS AND THE THEORY OF BRAIN MECHANISMS
  5. Learning to rank code examples for code search engines
  6. A Survey of Machine Learning for Big Code and Naturalness
  7. Corpus-based and Knowledge-based Measures of Text Semantic Similarity (AAAI Conference on Artificial Intelligence)
  8. CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
  9. A statistical interpretation of term specificity and its application in retrieval
  10. Deep Code Search

Their papers